CV

Curriculum Vitae (might not be up to date!)

Contact Information

Name Albert Dominguez Mantes
Professional Title PhD Student in Computer Vision for Microscopy
Email albert.dominguezmantes@epfl.ch

Professional Summary

I’m a PhD student in Computational and Quantitative Biology at EPFL, where I develop novel computer vision methods for microscopy image analysis. My research background includes work on ML-based population genetics at Stanford University. Prior to my PhD, I spent three years in Barcelona where I built and deployed NLP models, developed backend software and performed analytics as a Data Scientist across two different companies.

Experience

  • 2022 - present

    Lausanne, CH

    PhD Student
    École Polytechnique Fédérale de Lausanne (EPFL)
    Supervised by Prof. Martin Weigert (TU Dresden) and Prof. Gioele La Manno (EPFL), I am working on developing computational methods for microscopy image analysis.
  • 2021 - 2022

    Remote

    Research Assistant
    Stanford University
    Supervised by Alexander Ioannidis and Daniel Mas Montserrat in the Bustamante lab, I developed ML-based methods for population genetics.
  • 2020 - 2022

    Barcelona, ES

    Junior Data Scientist
    Abi Global Health
    Development and maintenance of a tool to easily deploy and maintain models in AWS SageMaker and Microsoft Azure ML. Development and backend integration of ML models mostly oriented towards solving medical NLP tasks. Backend maintenance. Assistance in analytical reporting to several departments.
  • 2019 - 2020

    Barcelona, ES

    Data Science Intern
    Softonic
    Developed an MVP which generated new program descriptions based on existing ones using deep learning-based NLP techniques. Carried out maintenance and tuning of an ML-based ad system, using TensorFlow and GCP.

Education

Skills

General: Machine learning, Deep learning, Computer vision, Data analysis, Bioimage analysis, Software engineering
Programming languages: Python, C++, R, SQL, Bash, Node.js, CUDA
Other: git, Docker, AWS, Google Cloud, Microsoft Azure

Languages

Catalan : Native speaker
Spanish : Native speaker
English : Fluent
French : Intermediate
German : Basic

Misc

  •
    CSCS-USI summer school on Effective High-Performance Computing and Data Analytics (2025) attendance
    GPU architectures, GPU programming with CUDA. (Course overview)
  • Winner of the Alpiq challenge at the 2023 Datathon by Analytics Club at ETHZ
    datathon.ai
  • Google Hash Code (2019, 2020) competition participation
    Google Hash Code